ABSTRACT
BACKGROUND@#The aim of the study is the development of nutrition education program for promoting vegetable intakes of school aged children.@*METHODS@#After a pilot study and consultations of experts, a program (composed of five lessons) that was emphasized the sensory and cooking activities based on the social cognitive theory was developed. Specially, we focused on enhance expectation, self-efficacy, and behavioral performance through the intervention. For a outcome evaluation survey tool was developed, too. The lessons once-a-week (total five lessons) and survey (pre and pro) were conducted to 20 school aged children.@*RESULTS@#The distribution of children was 11.5 years (mean age), boys (25%), girls (75%). Compared to pre-survey, the result of post-survey was higher scores for self-efficacy and two items out of ten items in food neophobia category. And one items out of six items (unfamiliar vegetables), three items out of ten items (familiar vegetables) showed positive result in food neophilia category significantly (P<0.1).@*CONCLUSIONS@#The education duration was short(5 weeks) but we could observe visible changes on self-efficacy, behavior performances for cooking and intention to intake vegetables non-preferred ones previously. Continuous applying and supplementing this nutrition education program may promote intake of vegetables among children.
ABSTRACT
BACKGROUND: The aim of the study is the development of nutrition education program for promoting vegetable intakes of school aged children. METHODS: After a pilot study and consultations of experts, a program (composed of five lessons) that was emphasized the sensory and cooking activities based on the social cognitive theory was developed. Specially, we focused on enhance expectation, self-efficacy, and behavioral performance through the intervention. For a outcome evaluation survey tool was developed, too. The lessons once-a-week (total five lessons) and survey (pre and pro) were conducted to 20 school aged children. RESULTS: The distribution of children was 11.5 years (mean age), boys (25%), girls (75%). Compared to pre-survey, the result of post-survey was higher scores for self-efficacy and two items out of ten items in food neophobia category. And one items out of six items (unfamiliar vegetables), three items out of ten items (familiar vegetables) showed positive result in food neophilia category significantly (P<0.1). CONCLUSIONS: The education duration was short(5 weeks) but we could observe visible changes on self-efficacy, behavior performances for cooking and intention to intake vegetables non-preferred ones previously. Continuous applying and supplementing this nutrition education program may promote intake of vegetables among children.
Subject(s)
Child , Female , Humans , Cooking , Education , Intention , Pilot Projects , Referral and Consultation , VegetablesABSTRACT
OBJECTIVES: An association between dietary patterns and mental health in children has been suggested in a series of studies, yet detailed analyses of dietary patterns and their effects on ADHD (attention deficit hyperactivity disorder) are limited. METHODS: We included 4569 children who had dietary intake data as part of the CHEER (Children's Health and Environmental Research) study conducted nationwide from 2005 to 2010. We assessed ADHD (Attention Deficit Hyperactivity Disorder) by the DuPaul's ADHD Rating Scales and dietary intake by a semi-quantitative food frequency questionnaire. Using intake data, we constructed five dietary patterns: “Plant foods & fish,” “Sweets,” “Meat & fish,” “Fruits & dairy products,” and “Wheat based.” RESULTS: The overall proportion of ADHD was 12.3%. Boys (17.8%) showed a higher rate of ADHD than girls (6.5%). The total intake of calories (85 kcal) and plant fat (2g) in the ADHD group was significantly higher than that of the normal group. ADHD was significantly negatively associated with dietary habits such as having breakfast and meal frequency, and positively associated with eating speed, unbalanced diet, overeating, and rice consumption. Regarding dietary patterns, the “Sweets” category was relevant to high ADHD risk (OR 1.59, 95% CI: 1.18, 2.15 for Q5 vs. Q1) in a linear relationship. An inverse, non-linear association was found between “Fruits & dairy products” and ADHD (OR 0.55, 95% CI: 0.39, 0.76 for Q4 vs. Q1). CONCLUSIONS: Our study confirms both positive and negative associations between diet and ADHD in elementary school age children. Moreover, linear or nonlinear associations between diet and ADHD draw attention to the possible threshold role of nutrients. Further studies may consider characteristics of diet in more detail to develop better intervention or management in terms of diet and health.
Subject(s)
Child , Female , Humans , Attention Deficit Disorder with Hyperactivity , Breakfast , Diet , Eating , Feeding Behavior , Hyperphagia , Meals , Mental Health , Plants , Weights and MeasuresABSTRACT
OBJECTIVES: An association between dietary patterns and mental health in children has been suggested in a series of studies, yet detailed analyses of dietary patterns and their effects on ADHD (attention deficit hyperactivity disorder) are limited. METHODS: We included 4569 children who had dietary intake data as part of the CHEER (Children's Health and Environmental Research) study conducted nationwide from 2005 to 2010. We assessed ADHD (Attention Deficit Hyperactivity Disorder) by the DuPaul's ADHD Rating Scales and dietary intake by a semi-quantitative food frequency questionnaire. Using intake data, we constructed five dietary patterns: “Plant foods & fish,” “Sweets,” “Meat & fish,” “Fruits & dairy products,” and “Wheat based.” RESULTS: The overall proportion of ADHD was 12.3%. Boys (17.8%) showed a higher rate of ADHD than girls (6.5%). The total intake of calories (85 kcal) and plant fat (2g) in the ADHD group was significantly higher than that of the normal group. ADHD was significantly negatively associated with dietary habits such as having breakfast and meal frequency, and positively associated with eating speed, unbalanced diet, overeating, and rice consumption. Regarding dietary patterns, the “Sweets” category was relevant to high ADHD risk (OR 1.59, 95% CI: 1.18, 2.15 for Q5 vs. Q1) in a linear relationship. An inverse, non-linear association was found between “Fruits & dairy products” and ADHD (OR 0.55, 95% CI: 0.39, 0.76 for Q4 vs. Q1). CONCLUSIONS: Our study confirms both positive and negative associations between diet and ADHD in elementary school age children. Moreover, linear or nonlinear associations between diet and ADHD draw attention to the possible threshold role of nutrients. Further studies may consider characteristics of diet in more detail to develop better intervention or management in terms of diet and health.